jordancaraballo

patchly

A grid sampler for larger-than-memory N-dimensional images

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

ILAB_JupNotebooks

This repo is for ILAB Jupyter NBs that are destined to be public facing on prism in the tutorial_notebooks dir. The tutorial_notebooks dir is visible to all users under their JupyterLinks location and is managed by ADAPT administrators

BPINN-Wildfire

Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"

terratorch

a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

streamlit-map-template

A streamlit template for mapping applications

voici-demo

Voici deployment template

geotile

GeoTile is the python library for tiling the geographic raster data (eg. Tiff etc)

hls-foundation-sagemaker

This repository demonstrates the how Harmonized Landsat and Sentinel-2 (HLS) Foundation Model can be finetuned using AWS sagemaker.

LLM-cookbook-for-open-science

Cookbook to use LLMs effectively for sciences, in various levels of expertise

content

Official content for Harvard CS109

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

Awesome-Remote-Sensing-Foundation-Models

vhr-cloudmask

VHR Cloud Masking

Project-Klamath-RxFire

Model inputs for simulations of Rx fire, wildfire, forest management and climate change

SpaDES-modules

A collection of available modules for use with the 'SpaDES' R package.

HelioML

A book about machine learning, statistics, and data mining for heliophysics

levanter

Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

croissant

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

End-to-End-Computer-Vision

This repository is an AI bootcamp material that consist of a workflow for computer vision

OnAIR

The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment.

EarthObservationTiles

Geo-Tiles for Semantic Segmentation of Earth Observation Imagery

multi_gpu_training

onearth

High-performance web services for tiled raster imagery and vector tiles

UVAFME_model

Source code for UVAFME

OSM_WaterLayer

The scripts to generate OSM Water Layer

evhr

Enhanced Very-high Resolution (EVHR)

eodal

Earth Observation Data Analysis Library

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)